Charles Zakarin is Founder of RMG Digital Solutions, specializing in AI-era reputation management.
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I run a reputation management firm. My clients don’t say they hired me.
The better the work, the quieter the client. Nobody writes a five-star review that says my reputation manager did his job. So I have built a business inside the review economy that the review economy cannot see. Which raises a question: Who leaves a public review for what can be a private, deeply personal service?
This can be a challenge for therapists, divorce attorneys, psychiatrists, criminal defense lawyers and doctors in sensitive specialties. Many satisfied clients have good reasons to stay private, and their silence tells you little about the quality of the work. Few people post about their mental health progress under their real name. That is not a broken system. That is how it should be. But it does conflict with the default trust infrastructure for hiring a stranger.
BrightLocal’s 2026 Local Consumer Review Survey found that 97% of consumers surveyed read reviews for local businesses, and 41% said they “always” do before choosing one. Restaurants live and die by online reviews. So do plumbers, electricians and contractors. Pick a tradesperson without reading reviews first and you’re gambling. The problem is, as a society, we’ve taken a mechanism designed for restaurants and stretched it over the entire service economy. For the most part, it worked. But it never covered the professions where trust matters most. That was fine, because those professions had their own system. Referrals. Word of mouth. The colleague who says, “Call her.” You could cultivate a private reputation for private work. The review economy and the referral economy ran side by side, and nobody noticed the gap. Until AI noticed.
People who used to ask a friend for a name now ask a machine. An AI answer doesn’t need reviews. It needs public text, and it builds an answer out of whatever it finds. A restaurant gives the AI 10,000 reviews to sort through. Ask it to recommend a therapist, or an attorney or a doctor, and the answer comes from almost nothing useful. Maybe a directory listing or a credentials page that can be thin, generic and sometimes wrong.
Many assumed the privacy professions were safe from the online reputation game. It’s the reverse. The exposure is highest for the competent practitioner whose entire public record is a listing and a stock bio. A restaurant has thousands of reviews backing it up, enough voices for the AI to land somewhere fair. A therapist has almost nothing, and the AI has to fill in the blanks. A confident answer can conceal how little it’s working from.
To test this, I asked ChatGPT to recommend a trauma therapist in Westchester. It named one clinician first. Every reason it gave came from her own practice website: her training, the methods she uses, where she has worked. Only at the end did it mention that it had not verified her license or her outcomes. Nothing in the answer came from a patient. There may be a dozen trauma therapists in Westchester who are just as good. It named one. The others had given it nothing to read.
And it’s not just therapists. Most businesses never find out what an AI says about them. In speaking to dozens of chief marketing officers of Fortune 500 consumer brands, McKinsey & Company reported that only 16% of brands systematically track their performance in AI search at all.
Plenty of businesses can’t generate public reviews. The consultant whose clients are all under NDA. The agency that can never show its best work. The B2B firm with 12 clients who will never post a word. For these businesses, good work is invisible by design. We treated that silence as a quality signal when it was often a privacy signal.
So, if you are one of these businesses, what do you do? The answer isn’t better reviews. That can’t be fixed, and it shouldn’t be. Nobody should have to give up their privacy so their provider can market better.
The answer is reputation without reviews. Make it easy for AI to find and understand you through everything that isn’t a testimonial. Put your credentials out in the open: license numbers, board certifications, where you trained, etc. It should all be on one page in plain text a machine can read. You want to create a professional presence that actually says what you do. You can also include things you’ve written and published, in your own name, in places where an editor decided they were worth running. That gives an AI something substantive to cite. Essentially, you want to create a public record of who you are and what you know.
The review economy measured the wrong thing for these professions from the start. It measured customer chatter. What was always needed was evidence of competence: public, citable and asking nothing of the client. The AI era didn’t create this gap. It just made it visible, one confident, thinly sourced answer at a time.
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